Exabeam New-Scale Fusion

Exabeam New-Scale Fusion is a cloud-native Security Operations Platform designed for modern security teams seeking unified threat detection, investigation, and response (TDIR). It combines New-Scale SIEM and New-Scale Analytics into a single platform, catering to organizations with hybrid, multicloud, or on-prem environments. The platform is particularly suited for teams looking to reduce operational overhead while accelerating incident response times.

With its AI-driven automation and machine-learned threat detection, Exabeam New-Scale Fusion appeals to SOC analysts, security leaders, and IT teams aiming to streamline workflows and improve security outcomes. Its modular pricing and scalability make it a practical choice for organizations of varying sizes and budgets. Exabeam New-Scale Fusion integrates seamlessly with nearly 700 vendor products, offering over 9,500 prebuilt parsers.

Built on a Common Information Model (CIM), it normalizes data across diverse environments, eliminating the need for custom scripts or proprietary query languages. The platform includes Exabeam Nova, a multi-agent AI assistant that supports analysts and security leaders throughout the investigation lifecycle. Nova provides natural language search, threat visualization, and real-time posture reporting.

Machine-learned threat detection is a core capability, with over 500 behavioral models and prebuilt correlation rules. Outcomes Navigator maps detections to MITRE ATT&CK and TDIR use cases, providing measurable insights to mature detection strategies. The platform automatically reconstructs incidents in a single timeline, accelerating triage and response.

It supports up to 2 million EPS with real-time parser tuning and built-in service health dashboards, ensuring high performance even under heavy loads. Exabeam New-Scale Fusion stands out in the crowded SIEM market by offering a unified workbench for detection, investigation, and response. Compared to Microsoft Sentinel, it provides broader vendor-neutral integrations and built-in machine learning, reducing the need for additional tools.

Unlike Splunk, which requires constant tuning and separate licensing for behavioral analytics, Exabeam delivers prebuilt rules and models, lowering operational complexity. Its modular pricing contrasts with Splunk’s unpredictable costs, offering predictable expenses as data volumes grow. Exabeam’s cloud-native architecture outperforms Splunk Cloud in scalability, supporting high EPS loads without downtime.

While Exabeam New-Scale Fusion excels in automation and scalability, it has trade-offs. Initial setup and tuning require significant effort, particularly for organizations transitioning from legacy SIEMs. Some advanced features, such as Exabeam Nova’s specialized agents, may require additional licenses, increasing costs.

The platform’s reliance on prebuilt parsers and behavioral models, while reducing tuning, may limit customization for highly specialized environments. Additionally, while Exabeam’s modular pricing is predictable, organizations with fluctuating data volumes may still face variable costs.

Usage-based pricing with modular options, including advanced analytics and automation.